Update app.py

app.py

@@ -161,12 +161,13 @@ async def run_hackrx(req: RunRequest):
     print(f"chunking done: {end_time}")
     if not chunks:
         return JSONResponse({"error": "No documents could be processed."}, status_code=400)
-
+    start_time2 = time.time()
     vectorstore = await FAISS.afrom_documents(
         documents=chunks, 
         embedding=ml_models["embedder"]
     )
-
+    end_time2 = time.time() - start_time2
+    print(f"vector done: {end_time2}")
     # dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 8})
     dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 12 ,"lambda_mult": 0.5} )